scholarly journals Health related behavior patterns and associated factors among marriage immigrant women using latent class analysis

2015 ◽  
Vol 32 (5) ◽  
pp. 17-31
Author(s):  
Wonsup Cho ◽  
Seunghyun Yoo ◽  
Hyekyeong Kim
Keyword(s):  
Latent Class Analysis ◽  
Associated Factors ◽  
Latent Class ◽  
Immigrant Women ◽  
Behavior Patterns ◽  
Class Analysis ◽  
Health Related

scholarly journals Latent Class Analysis: a new vision of the phenomenon of depression in elderly men in the Brazilian Northeast

2017 ◽  
Vol 20 (6) ◽  
pp. 814-825
Author(s):  
Rita de Cássia Hoffmann Leão ◽  
Vanessa de Lima Silva ◽  
Rafael da Silveira Moreira
Keyword(s):  
Latent Class Analysis ◽  
Associated Factors ◽  
Latent Class ◽  
Descriptive Analysis ◽  
Geriatric Depression Scale ◽  
Depression Scale ◽  
Class Analysis ◽  
Elderly Men ◽  
Cross Sectional ◽  
Low Levels

Abstract Objective: to identify the prevalence of depression in elderly men and associated factors using Latent Class Analysis. Method: a cross-sectional, epidemiological study evaluating 162 Primary Care users resident in the community in Recife, Brazil, was carried out. The Yesavage Geriatric Depression Scale was used as a screening instrument. The study was based on descriptive analysis and Latent Class Analysis, which allows the indirect measurement of the phenomenon of Depression by measuring the latent phenomenon of depression through 15 directly observed questions/answers from the scale used followed by ordinal logistic regression. Results: Elderly men with up to four years of schooling had a 2.43 times greater chance of developing depression. Those with normal levels of cortisol were less likely to become depressed while elderly men with low levels of Vitamin D and testosterone and high levels of thyroid stimulating hormones (TSH) were more likely to be depressed. The prevalence of the highest level of depression in the study population was 29% and was associated with low levels of education and alterations in the clinical data investigated. Conclusion: The study concluded that Latent Class Analysis allowed an innovative perspective of the phenomenon of depression and its relationship with associated factors, allowing a better and broader approach to this phenomenon in clinical practice.

scholarly journals eHealth Practices in Cancer Survivors With BMI in Overweight or Obese Categories: Latent Class Analysis Study (Preprint)

2020 ◽  
Author(s):  
Annie Wen Lin ◽  
Sharon H Baik ◽  
David Aaby ◽  
Leslie Tello ◽  
Twila Linville ◽  
...  
Keyword(s):  
Cancer Survivors ◽  
Latent Class Analysis ◽  
Health Information ◽  
Latent Class ◽  
Electronic Device ◽  
Ethnic Disparities ◽  
Sociodemographic Characteristics ◽  
Class Analysis ◽  
Class Membership ◽  
Health Related

BACKGROUND eHealth technologies have been found to facilitate health-promoting practices among cancer survivors with BMI in overweight or obese categories; however, little is known about their engagement with eHealth to promote weight management and facilitate patient-clinician communication. OBJECTIVE The objective of this study was to determine whether eHealth use was associated with sociodemographic characteristics, as well as medical history and experiences (ie, patient-related factors) among cancer survivors with BMI in overweight or obese categories. METHODS Data were analyzed from a nationally representative cross-sectional survey (National Cancer Institute’s Health Information National Trends Survey). Latent class analysis was used to derive distinct classes among cancer survivors based on sociodemographic characteristics, medical attributes, and medical experiences. Logistic regression was used to examine whether class membership was associated with different eHealth practices. RESULTS Three distinct classes of cancer survivors with BMI in overweight or obese categories emerged: younger with no comorbidities, younger with comorbidities, and older with comorbidities. Compared to the other classes, the younger with comorbidities class had the highest probability of identifying as female (73%) and Hispanic (46%) and feeling that clinicians did not address their concerns (75%). The older with comorbidities class was 6.5 times more likely than the younger with comorbidities class to share eHealth data with a clinician (odds ratio [OR] 6.53, 95% CI 1.08-39.43). In contrast, the younger with no comorbidities class had a higher likelihood of using a computer to look for health information (OR 1.93, 95% CI 1.10-3.38), using an electronic device to track progress toward a health-related goal (OR 2.02, 95% CI 1.08-3.79), and using the internet to watch health-related YouTube videos (OR 2.70, 95% CI 1.52-4.81) than the older with comorbidities class. CONCLUSIONS Class membership was associated with different patterns of eHealth engagement, indicating the importance of tailored digital strategies for delivering effective care. Future eHealth weight loss interventions should investigate strategies to engage younger cancer survivors with comorbidities and address racial and ethnic disparities in eHealth use.

Does participation in the workplace spill over into political participation? A latent class analysis approach to patterns of political behavior

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jungook Kim
Keyword(s):  
Political Participation ◽  
Latent Class Analysis ◽  
Political Behavior ◽  
Latent Class ◽  
Political Efficacy ◽  
Behavior Patterns ◽  
Class Analysis ◽  
Social Survey ◽  
Content Type ◽  
Political Behaviors

PurposeThis study examines Pateman's “spillover thesis” that democratic participation in the workplace will “spill over” into political participation. It applies a latent class analysis (LCA) to identify patterns of political behavior and uses workplace participation and political efficacy as predicting variables of political behavior patterns.Design/methodology/approachThis study analyzed the International Social Survey Programme (ISSP) in 2014 General Social Survey (GSS) data. This study applied a LCA to identify distinct patterns in people's political behaviors and did a multinomial regression analysis to predict the patterns with workplace participation and political efficacy.FindingsThe study found partial support for the spillover thesis. Among three distinct political behavior patterns, two active patterns were associated with political efficacy. However, the mediation from workplace participation to political participation through political efficacy was not supported. Respondents involved in workplace units that collectively make work-related decisions were more likely to be active in political behaviors, but only one set of political activities. Higher political efficacy was found to lead to more active overall political participation of both patterns.Originality/valueUnlike the previous studies of democratic spillover, which treated political behaviors either as independent types of behaviors or as a summative index of such binary coded variables, this study addressed such shortcomings of the previous studies by providing a more complex picture of political behavior patterns and their relationship with workplace participation. Future research can build on this unique methodological endeavor to explore a holistic picture of how workplace practices can influence politics and democracy through individual workers.

The Association Between Fatalism and Mammography Use in Korean American Immigrant Women

2021 ◽  
pp. 109019812110292
Author(s):  
Mi Hwa Lee ◽  
Saahoon Hong ◽  
Joseph R. Merighi
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Immigrant Women ◽  
Cultural Beliefs ◽  
Korean American ◽  
Class Analysis ◽  
Cancer Fatalism ◽  
Convenience Sample ◽  
American Immigrant ◽  
Mammography Use

Fatalism is reported as a salient cultural belief that influences cancer screening disparities in racial and ethnic minority groups. Previous studies provide a range of measures and descriptions of cancer fatalism, but no studies to our knowledge have analyzed how fatalistic views cluster together within subgroups to form distinct profiles, and how these profiles can be predicted. This study identified subgroups of Korean American immigrants with similar fatalistic beliefs toward cancer and examined the influence of fatalism, health belief variables, and health literacy on mammography use. A cross-sectional survey design was used to obtain a convenience sample of 240 Korean American immigrant women in Los Angeles, California. Latent class analysis was used to identify unobserved subgroups of fatalism. Hierarchical logistic regression models were used to identify predisposing, enabling, and need factors associated with recent mammography use. The latent class analysis model identified three cancer fatalism subgroups: high fatalism (17.8%), moderate fatalism (36.7%), and low fatalism (45.5%). Women in the high fatalism subgroup were more likely to have had a mammogram within the past 2 years than women in the low fatalism subgroup. Regression analysis revealed three facilitators of recent mammogram use: level of fatalism, perceived barriers to mammogram, and family history of cancer. Although cultural beliefs can have a powerful influence on health-seeking behavior, it is important to weigh individual and contextual factors that may weaken or mediate the relationship between fatalism and engaging in preventive care such as having a mammogram.

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